- AI Services · AI-native data stack
Modern data warehousing offers a way to integrate traditional analytical needs and the possibility to use advanced AI and Data Science techniques. Intellerts guides you on modern data warehouse strategies, migration processes, and solution configurations.
WHAT WE DO
We help organizations build future-proof data platforms through two key disciplines.
Modern Data Warehousing
Modern data warehouses integrate data lakes, data mesh, and data fabric concepts to enhance flexibility, data management, and governance. We help you design architectures that unify structured and unstructured data under a single, scalable platform.
Migration Strategies
Migrating to a modern data warehouse involves strategies like full modernization and lift-and-replatform, with a focus on cloud-native approaches for agility and cost efficiency. We assess your current landscape and chart the optimal migration path.
CLOUD PLATFORMS
Specialized in GCP & Azure AI
We architect and implement AI-native data stacks on the two leading enterprise cloud platforms, tailoring the solution configuration to your organization’s needs.
Google Cloud Platform
BIGQUERY & CLOUD STORAGE
Data Storage & Analytics
BigQuery serves as the serverless, highly scalable data warehouse for analytics, while Cloud Storage provides durable object storage for data lake workloads. Together they form the foundation of a modern GCP data platform.
VERTEX AI
AI & Machine Learning
Vertex AI unifies ML workflows — from data preparation and model training to deployment and monitoring — enabling your team to build, deploy, and scale AI models with integrated MLOps tooling.
DATAFLOW, DATAPROC & CLOUD DATA FUSION
Data Integration
Stream and batch processing pipelines powered by Apache Beam (Dataflow) and Spark (Dataproc), with Cloud Data Fusion providing a visual, code-free ETL/ELT experience for complex integration scenarios.
DATAPLEX & DATA CATALOG
Governance & Cataloging
Dataplex provides intelligent data management across data lakes and warehouses, while Data Catalog enables discovery, metadata management, and lineage tracking for full governance.
Microsoft Azure
AZURE SYNAPSE ANALYTICS & ADLS GEN2
Data Storage & Analytics
Azure Synapse Analytics combines enterprise data warehousing and big data analytics in a unified service, while Azure Data Lake Storage Gen2 delivers hierarchical, high-throughput storage for massive-scale analytics.
AZURE MACHINE LEARNING
AI & Machine Learning
Azure Machine Learning provides an end-to-end platform for building, training, and deploying models at scale with built-in MLOps, responsible AI dashboards, and seamless integration with the Azure ecosystem.
AZURE DATA FACTORY & AZURE DATABRICKS
Data Integration
Azure Data Factory orchestrates data movement and transformation at scale, while Azure Databricks delivers a collaborative Spark-based environment for advanced analytics and engineering workflows.
MICROSOFT PURVIEW
Governance & Cataloging
Microsoft Purview unifies data governance across on-premises, multi-cloud, and SaaS environments, providing automated data discovery, classification, lineage, and policy enforcement.
Security, governance, and cost efficiency are foundational to every data stack we deliver across both GCP and Azure.
Security & Access
- Service accounts with least privilege principles for all automated workloads
- Role-based access control (RBAC) aligned with organizational structure
- Encryption at rest and in transit as default for all data assets
- Hybrid cloud patterns for secure connectivity between on-premises and cloud
Cost Optimization
- Lifecycle policies for automatic data tiering and archival
- Table partitioning and clustering for efficient query performance and reduced scan costs
- Reserved capacity and commitment plans for predictable workloads
- Continuous monitoring and right-sizing of compute resources
Ready to modernize your data stack ?
Let us design and implement an AI-native data platform on GCP or Azure tailored to your analytics needs, security requirements, and growth ambitions.
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